Amazon Q Developer vs GitHub Copilot
Compare Amazon Q Developer and GitHub Copilot by workflow, pricing, privacy, model support, and best use cases.
Amazon Q Developer
Choose Amazon Q Developer when your team builds, operates, or modernizes software on AWS and wants AI help across IDEs, AWS Console, security review, GitLab/GitHub workflows, and application transformation. Choose a provider-neutral agent or full AI IDE if model flexibility, local execution, or non-AWS workflows matter more.
GitHub Copilot
GitHub Copilot is a practical default for GitHub-centered developers and teams that want AI coding support across editor, repository, review, and terminal workflows without adopting a separate AI IDE.
Amazon Q Developer
- Pricing model
- freemium
- Free plan
- Yes
- Open source
- No
- Local models
- No
- BYOK
- No
- Editor base
- VS Code
Key Differences
Workflow
Amazon Q Developer is an AWS-native AI coding assistant for developers and teams that want IDE coding help, agentic workflows, security review, modernization, and cloud operations guidance across the AWS software lifecycle.
GitHub Copilot is a mainstream AI code assistant and developer workflow layer for teams that want AI support inside existing editors, GitHub repositories, pull requests, and terminal workflows.
BYOK
No
Yes
Feature Comparison
| Feature | Amazon Q Developer | GitHub Copilot |
|---|---|---|
| Primary workflow | Amazon Q Developer is an AWS-native AI coding assistant for developers and teams that want IDE coding help, agentic workflows, security review, modernization, and cloud operations guidance across the AWS software lifecycle. | GitHub Copilot is a mainstream AI code assistant and developer workflow layer for teams that want AI support inside existing editors, GitHub repositories, pull requests, and terminal workflows. |
| Type | extension | extension |
| Editor base | VS Code | VS Code |
| Pricing model | freemium | freemium |
| Starting price | $0 | $10 |
| Free plan | Yes | Yes |
| Open source | No | No |
| Local models | No | No |
| BYOK | No | Yes |
| Platforms | VS Code, JetBrains IDEs, IntelliJ IDEA, PyCharm, WebStorm, Visual Studio 2022 for Windows, Eclipse, AWS Console, AWS Console Mobile Application, GitLab Duo, GitHub and GitHub Enterprise Cloud preview, Microsoft Teams, Slack, AWS websites and documentation pages, Kiro CLI migration path | VS Code, Visual Studio, JetBrains IDEs, Xcode, Neovim, Eclipse, Zed, GitHub.com, GitHub Mobile, GitHub Desktop, Windows Terminal, CLI |
| Models | Claude | OpenAI GPT-5 mini, OpenAI GPT-5.3-Codex, OpenAI GPT-5.4, OpenAI GPT-5.4 mini, OpenAI GPT-5.5, Anthropic Claude Haiku 4.5, Anthropic Claude Sonnet 4, Anthropic Claude Sonnet 4.5, Anthropic Claude Sonnet 4.6, Anthropic Claude Opus 4.5, Anthropic Claude Opus 4.6, Anthropic Claude Opus 4.7, Anthropic Claude Opus 4.8, Google Gemini 2.5 Pro, Google Gemini 3 Flash, Google Gemini 3.1 Pro, Google Gemini 3.5 Flash, Raptor mini |
| Enterprise features | IAM Identity Center support, Admin dashboard, User management, Policy management, Organization billing, Pro subscriptions, Data collection automatically opted out for Pro, IP indemnity for Pro, Reference tracking, Suppress public code suggestions, AWS IAM-aware context, AWS Console integration, GitLab Duo integration, GitHub preview integration, Microsoft Teams integration, Slack integration, Security scanning, Transformation quotas pooled at payer-account level | Organization and enterprise license management, Policy controls for Copilot features and model availability, Audit logs on eligible plans, IP indemnity for business offerings, Usage monitoring and adoption reporting, Enterprise agent management, Data residency options for eligible enterprise environments, Custom model access using preferred LLM provider API keys for enterprise organizations |
| Best for | AWS developers, Cloud application teams, Serverless and infrastructure teams, Java modernization projects, .NET modernization projects, Security scanning in IDE workflows, AWS cost and resource investigation, Teams using IAM Identity Center, GitLab Duo users building with AWS, Developers who want AI help across IDE and AWS Console workflows, Organizations that need AWS-native governance and admin controls | Developers who want AI assistance inside their existing editor rather than switching to a new IDE., GitHub-first teams that review code, manage issues, and ship pull requests on GitHub., Engineering organizations that need admin controls, policy management, and auditability., Developers who want a single assistant for autocomplete, chat, review, CLI, and agent workflows., Teams adopting AI coding gradually without rebuilding their development stack. |
| Not best for | Teams that are not invested in AWS, Developers who want local model execution, Users who need provider-neutral BYOK model routing, Non-technical users looking for prompt-to-app builders, Developers who want a full standalone AI IDE, Teams that need open-source agent runtime control, Workflows where AI agents cannot read files, write diffs, or run shell commands | Developers who want a fully AI-native editor experience like Cursor or Windsurf., Teams that require local-only model execution or fully self-hosted inference., Users who primarily want prompt-to-app generation in the browser., Workflows centered on non-GitHub source control platforms., Individuals who need predictable high-volume frontier-model usage without credit or usage constraints. |
Use Case Winners
Both Amazon Q Developer and GitHub Copilot have comparable signals here.
GitHub Copilot has BYOK or model-routing flexibility.
Amazon Q Developer lists more team or enterprise controls.
Both Amazon Q Developer and GitHub Copilot have comparable signals here.
GitHub Copilot supports more model/provider options or BYOK-style workflows.
Neither tool shows a strong signal for this use case in the current structured data.
Pricing Comparison
Amazon Q Developer
- Free Tier$0 / month
Perpetual free tier with monthly limits, including 50 agentic requests per month and up to 1,000 lines of code per month for supported transformations.
- Amazon Q Developer Pro$19 / user/month
Expanded usage limits, latest Claude model access, IDE/CLI use, Identity Center support, admin dashboard, policy management, data opt-out by default, and IP indemnity.
- Transformation overage$0.003 / line of code
Applies to Amazon Q Developer transformation usage above included Pro allocations for eligible Java upgrade transformations.
- GitLab Duo with Amazon QGitLab plan-dependent
Available through supported GitLab workflows and tiers; use depends on GitLab Duo and AWS integration setup.
- Enterprise / Organization useUsage-based
Managed through AWS accounts, IAM Identity Center, subscriptions, quotas, governance, and AWS organization billing.
GitHub Copilot
- Free$0 / month
Limited monthly completions plus limited chat and agent usage for individuals.
- Pro$10 / user/month
Individual plan with unlimited code completions, model selection, cloud agent access, code review, and included AI credits.
- Pro+$39 / user/month
Adds premium model access, audit logs, and a larger monthly AI credit pool.
- Max$100 / user/month
Higher-usage individual plan for sustained agent workflows and priority access to newer models.
- Business$19 / user/month
Organization plan with license management, policy controls, and business data protections.
Privacy & Security
Amazon Q Developer
Amazon Q Developer can process prompts, code context, local project files, diffs, shell output, security scan context, AWS resource metadata, GitLab or GitHub workflow context, and chat content depending on where it is used. AWS states that Amazon Q Developer Pro proprietary content is not used for service improvement, while the Free tier provides opt-out controls. Teams should still avoid exposing secrets, credentials, regulated data, or production tokens in prompts, files, terminal output, repositories, or connected chat and DevOps tools.
GitHub Copilot
GitHub states that Copilot Business and Enterprise data is not used to train GitHub models. For individual Free, Pro, and Pro+ users, GitHub may use Copilot interaction data for model improvement unless the user opts out in settings. Teams should review current GitHub Copilot privacy and data retention documentation before deployment.
Choose Amazon Q Developer if...
- AWS developers
- Cloud application teams
- Serverless and infrastructure teams
- Java modernization projects
- .NET modernization projects
Choose GitHub Copilot if...
- Developers who want AI assistance inside their existing editor rather than switching to a new IDE.
- GitHub-first teams that review code, manage issues, and ship pull requests on GitHub.
- Engineering organizations that need admin controls, policy management, and auditability.
- Developers who want a single assistant for autocomplete, chat, review, CLI, and agent workflows.
- Teams adopting AI coding gradually without rebuilding their development stack.
Avoid Amazon Q Developer if...
- Teams that are not invested in AWS
- Developers who want local model execution
- Users who need provider-neutral BYOK model routing
- Non-technical users looking for prompt-to-app builders
- Developers who want a full standalone AI IDE
Avoid GitHub Copilot if...
- Developers who want a fully AI-native editor experience like Cursor or Windsurf.
- Teams that require local-only model execution or fully self-hosted inference.
- Users who primarily want prompt-to-app generation in the browser.
- Workflows centered on non-GitHub source control platforms.
- Individuals who need predictable high-volume frontier-model usage without credit or usage constraints.